Dienstag, 02. Mai 2023, 16:30 - 18:00 iCal

Vortrag von Matthew RIGBY

(University of Bristol)


"Inferring methane emissions using satellite data and Lagrangian particle dispersion models: recent results and future directions"


Vortrag im Rahmen des Meteorologisch-Geophysikalischen Kolloquiums.


To the online talk click here: univienna.zoom.us/j/66942796112



Over the last decade, we have used data from the JAXA satellite, GOSAT, to infer methane emissions over India, Brazil, China and North Africa. This has been achieved using a hierarchical Bayesian “top-down” inversion framework and the UK Met Office NAME Lagrangian particle dispersion model (LPDM). These studies have revealed several notable findings, including top-down methane emissions for India that are consistent with inventory reports, a trend in wetland and anthropogenic emissions in Brazil, and a previously unidentified seasonal source in the Nile delta. New space-based instruments such as TROPOMI represent an exciting new area for methane emissions inference. However, because of the step-change in data volumes, compared to GOSAT, these datasets are extremely challenging for studies using LPDMs, which require a new model evaluation for each data point.

To address this issue, we have developed a proof-of-concept machine learning emulator, which can calculate LPDM outputs in a fraction of a second using meteorological inputs. Here, I will discuss recent inversion results and outline a possible future direction for methane inversions using satellite data and machine learning emulation of LPDMs.


To the online talk click here: univienna.zoom.us/j/66942796112

Zur Webseite der Veranstaltung


Institut für Meteorologie und Geophysik


Andreas Plach/Herta Gassner
Institut für Meteorologie und Geophysik